ArticleStem cell research2021
Chromatin accessibility profiling identifies evolutionary conserved loci in activated human satellite cells.
Article in Stem cell research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- PGC-1α: key regulator of mitochondrial biogenesis and cellular differentiation in metabolic and regenerative tissues.Cell & bioscience · 2025Review
- Article
- Global chromatin accessibility profiling analysis reveals a chronic activation state in aged muscle stem cells.iScience · 2022Article
- Involvement of muscle satellite cell dysfunction in neuromuscular disorders: Expanding the portfolio of satellite cell-opathies.European journal of translational myology · 2022Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
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Abstract
Satellite cells represent the main myogenic population accounting for skeletal muscle homeostasis and regeneration. While our knowledge of the signaling pathways controlling satellite cell regenerative capability is increasing, the underlying epigenetic mechanisms are still not clear, especially in the case of human satellite cells. Here, by performing chromatin accessibility profiling (ATAC-seq) in samples isolated from human and murine muscles, we investigated the changes in the epigenetic landscape occurring during the transition from activated satellite cells to myoblasts. Our analysis identifies a compendium of putative regulatory elements defining human activated satellite cells and myoblasts, respectively. A subset of these differentially accessible loci is shared by both murine and human satellite cells, includes elements associated with known self-renewal regulators, and is enriched for motifs bound by transcription factors participating in satellite cell regulation. Integration of transcriptional and epigenetic data reveals that known regulators of metabolic gene expression, such as PPARGC1A, represent potential PAX7 targets. Through characterization of genomic networks and the underlying effectors, our data represent an important starting point for decoding and manipulating the molecular mechanisms underlying human satellite cell muscle regenerative potential.
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Registered trials
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